MW Partners is currently seeking a Fraud Data Engineer to work for our client who is a global leader in multimedia and creativity software products.
Responsibilities and duties:
- Design build and maintain robust ETL/ELT pipelines (batch and streaming) for structured and unstructured data using SQL and Python/PySpark.
- Collaborate with data scientists and business stakeholders to model query and visualize complex entity relationships using Neo4j.
- Optimize Neo4j data models and Cypher queries for scalability and performance.
- Build and manage large-scale ML feature stores and integrate them with AI and agentic workflows.
- Develop and maintain integrations across AWS (S3) and Azure (Blob Storage VMs) and third-party threat intelligence APIs to enrich fraud detection and investigation workflows.
- Automate workflows using Apache Airflow or equivalent orchestration tools.
- Apply DataOps best practices including version control (Git) CI/CD and monitoring for reliability and maintainability.
- Implement and enforce data quality lineage and governance standards across all data assets.
Requirements:
- Masters degree in Statistics Mathematics Computer Science or a related field (or bachelors degree with equivalent experience)
- 8 years of experience in data engineering or a related field.
- Proven success in ETL/ELT design and implementation including batch and streaming pipelines.
- Strong proficiency in SQL Python and PySpark.
- Hands-on experience with Neo4j (data modeling Cypher query optimization).
- Experience building ML feature stores and integrating with AI/ML pipelines.
- Working knowledge of AWS and Azure data services.
- Familiarity with Apache Airflow or similar orchestration tools.
- Proficient in Git and CI/CD workflows.
- Strong understanding of data quality lineage and governance
- Nice to Have: Experience with Databricks.
For a confidential discussion or to find out more contact Amit Kumar on or apply now.
MW Partners is currently seeking a Fraud Data Engineer to work for our client who is a global leader in multimedia and creativity software products. Responsibilities and duties: Design build and maintain robust ETL/ELT pipelines (batch and streaming) for structured and unstructured data using SQL a...
MW Partners is currently seeking a Fraud Data Engineer to work for our client who is a global leader in multimedia and creativity software products.
Responsibilities and duties:
- Design build and maintain robust ETL/ELT pipelines (batch and streaming) for structured and unstructured data using SQL and Python/PySpark.
- Collaborate with data scientists and business stakeholders to model query and visualize complex entity relationships using Neo4j.
- Optimize Neo4j data models and Cypher queries for scalability and performance.
- Build and manage large-scale ML feature stores and integrate them with AI and agentic workflows.
- Develop and maintain integrations across AWS (S3) and Azure (Blob Storage VMs) and third-party threat intelligence APIs to enrich fraud detection and investigation workflows.
- Automate workflows using Apache Airflow or equivalent orchestration tools.
- Apply DataOps best practices including version control (Git) CI/CD and monitoring for reliability and maintainability.
- Implement and enforce data quality lineage and governance standards across all data assets.
Requirements:
- Masters degree in Statistics Mathematics Computer Science or a related field (or bachelors degree with equivalent experience)
- 8 years of experience in data engineering or a related field.
- Proven success in ETL/ELT design and implementation including batch and streaming pipelines.
- Strong proficiency in SQL Python and PySpark.
- Hands-on experience with Neo4j (data modeling Cypher query optimization).
- Experience building ML feature stores and integrating with AI/ML pipelines.
- Working knowledge of AWS and Azure data services.
- Familiarity with Apache Airflow or similar orchestration tools.
- Proficient in Git and CI/CD workflows.
- Strong understanding of data quality lineage and governance
- Nice to Have: Experience with Databricks.
For a confidential discussion or to find out more contact Amit Kumar on or apply now.
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